Benchmarks and Hybrid Algorithms in Optimization and Applications
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Beschreibung
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
Presents latest developments and findings on hybrid algorithms and benchmarks in optimization Provides comprehensive reviews and surveys on implementations and coding aspects of benchmarks Serves as a reference resource for researchers and practitioners in academia and industry
Autor*in
Xin-She Yang
Themen in »Benchmarks and Hybrid Algorithms in Optimization and Applications«
Hybrid Algorithms Benchmarks Nature-inspired Algorithms Artificial Intelligence Optimization Real-World Optimization Problems